Nvidia launches Omniverse Cloud for the industrial metaverse

Nvidia launches Omniverse Cloud for the industrial metaverse


Picture: Deutsche Bahn

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Nvidia CEO Jensen Huang provides insight into the company’s metaverse efforts during his GTC keynote. In addition to Omniverse Cloud, there are new hardware and features.

Nvidia sees the Metaverse as the 3D evolution of the Internet. The company currently focuses primarily on the “industrial metaverse. Digital factory twins, simulated rail networks, radio tower simulations, simulation robot training, 3D development collaborations, and other enterprise use cases for connected virtual spaces.

Today’s Internet consists of HTML web pages viewed through a browser, Huang said. The metaverse, the 3D internet, connects 3D virtual worlds described in USD (Universal Scene Description) and visualized via a simulation engine.

Nvidia’s Omniverse is a platform for developing and running metaverse applications, he said.

“The Omniverse is a large-scale, real-time 3D database. It’s a shared 3D world,” said Nvidia’s CEO. “Omniverse is a network built on USD. It connects 3D worlds.

There are now 700 companies and 200,000 people using Omniverse. This includes companies in the transportation, retail, communications and energy sectors. Nvidia’s list includes AT&T, BMW, PepsiCo, Siemens, Lockheed Martin, Industrial Light&Magic, and Amazon Robotics. 150 other software partners support Omniverse.

Nvidia Omniverse Cloud as a SaaS product

To enable even more businesses and individuals to access Omniverse, Nvidia has launched Ominiverse Cloud. The service is designed to leverage technology from Geforce Now, such as low-latency streaming of interactive 3D graphics experiences to edge devices in 100 countries.

Design 3D workflows with the click of a button and take advantage of all the features of Omniverse, such as physics simulation, ray tracing, and artificial intelligence capabilities, without the need for powerful high-end devices.

The first companies such as Siemens, RIMAC and WPP have already announced the use of Omniverse Cloud. WPP wants to use the cloud service for marketing services for the automotive industry, for example. Nvidia also announced container rollouts, new developer toolkits for neural rendering, for example, and a new publishing portal.

As part of the GTC, Nvidia also plans to show the first examples of web-based USD experiences. Support for Siemens JT also includes a USD connector that opens the Omniverse to all CAD workflows.

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Nvidia’s OVX platform for digital twins

Along with the many software announcements, Nvidia also showed off some new hardware. Omniverse is a new form of computing platform and therefore needs a new computing system, Huang said.

This system consists of three elements: RTX computers for creation, design and engineering, OVX servers that connect to the Nucleus database and run virtual world simulations, and Nvidia’s graphics delivery network via Geforce Now as a portal to Omniverse.

Nvidia’s second-generation OVX is expected to bring high-resolution graphics to Edge via Omniverse Cloud and Geforce Now. | Picture: Nvidia

Nvidia’s second-generation OVX platform is the metaverse counterpart to the HGX H100 AI platform. Instead of AI calculations, OVX accelerates metaverse applications like digital twins. The second-generation OVX is expected to be available in early 2023 and is based on eight Ada Lovelace next-generation L40 GPUs. For the Omniverse platform, OVX handles graphics-intensive virtual world simulation, while HGX handles AI workloads.

Deutsche Bahn, Lowe’s, and Heavy.AI feature Omniverse examples.

As part of the GTCs, several companies demonstrated how they use Omniverse. A few examples were presented during the keynote. Heavy.ai is building Omniverse, a framework for digital twins for telecommunications companies. According to Nvidia, this allows companies to better plan the construction and operation of networks.

Lowe’s, introduced its first digital twin for the retail industry. With a digital copy of a store, the company better understands sales performance and tests thousands of store layouts, simulates customer flows from historical data with AI, or adjusts individual shelves and merges data from different stores.

Digital information can also be viewed by employees in AR with glasses such as the Magic Leap 2. The digital twin thus becomes an AR copy, superimposed on reality.

Deutsche Bahn also uses Omniverse. The Digital Rail Germany (DSD) department is building the first nationwide digital twin to fully simulate automatic train operation across an entire network.

With the realistic and physically correct simulated copy, DSD aims to develop efficient perception, prevention and management systems to optimally detect and respond to irregular situations in daily railway operations. An example could be fallen tree trunks or people on the tracks. The ultimate goal is a fully automated rail network.


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